A cooperative game theoretic solution for lifetime maximization of WSNs in sequential estimation

Sudharman, K. Jayaweera; Hakim, Kamrul

doi:10.1109/iciafs.2010.5715665

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…In [31], tools from cooperative game theory are used to develop a formal analytical framework for fair allocation of power among collaborating nodes in a Fusion Center (FC) based WSNs. The goal is to achieve a se-600 quential estimation task, while at the same time maximizing the overall network lifetime.…”

Section: Cooperative Gamesmentioning

confidence: 99%

Game theory for energy efficiency in Wireless Sensor Networks: Latest trends

AlSkaif

Zapata

Bellalta

2015

Journal of Network and Computer Applications

125

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Section: Cooperative Gamesmentioning

confidence: 99%

Game theory for energy efficiency in Wireless Sensor Networks: Latest trends

AlSkaif

Zapata

Bellalta

2015

Journal of Network and Computer Applications

125

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“…In WSNs, quite a few studies applied the game theory to the routing protocols [17,18], power management techniques [19][20][21][22][23][24], and a backoff technique [25]. However, there is no game theoretic study for duty cycling of MAC protocols.…”

Section: Backgrounds and Related Workmentioning

confidence: 99%

Sleep Control Game for Wireless Sensor Networks

Lee

Kim

Choi

2016

Mobile Information Systems

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In wireless sensor networks (WSNs), each node controls its sleep to reduce energy consumption without sacrificing message latency. In this paper we apply the game theory, which is a powerful tool that explains how each individual acts for his or her own economic benefit, to analyze the optimal sleep schedule for sensor nodes. We redefine this sleep control game as a modified version of the Prisoner’s Dilemma. In the sleep control game, each node decides whether or not it wakes up for the cycle. Payoff functions of the sleep control game consider the expected traffic volume, network conditions, and the expected packet delay. According to the payoff function, each node selects the best wake-up strategy that may minimize the energy consumption and maintain the latency performance. To investigate the performance of our algorithm, we apply the sleep control game to X-MAC, which is one of the recent WSN MAC protocols. Our detailed packet level simulations confirm that the proposed algorithm can effectively reduce the energy consumption by removing unnecessary wake-up operations without loss of the latency performance.

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“…A distributed algorithm named correlated Q-learning algorithm was proposed to obtain the correlated equilibrium policies of the system. The problem of sequential estimation and lifetime maximization in a WSN was formulated in a cooperative game theoretic framework in [ 132 , 133 ], which allow the issue of fair resource allocation for sequential estimation task at the “fusion center” in a WSN as a solution of a cooperative game.…”

Section: Applications Of Game Theory In Wsnmentioning

confidence: 99%

Game Theory for Wireless Sensor Networks: A Survey

Shi

Wang

Kwok

et al. 2012

Sensors

208

111

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Game theory (GT) is a mathematical method that describes the phenomenon of conflict and cooperation between intelligent rational decision-makers. In particular, the theory has been proven very useful in the design of wireless sensor networks (WSNs). This article surveys the recent developments and findings of GT, its applications in WSNs, and provides the community a general view of this vibrant research area. We first introduce the typical formulation of GT in the WSN application domain. The roles of GT are described that include routing protocol design, topology control, power control and energy saving, packet forwarding, data collection, spectrum allocation, bandwidth allocation, quality of service control, coverage optimization, WSN security, and other sensor management tasks. Then, three variations of game theory are described, namely, the cooperative, non-cooperative, and repeated schemes. Finally, existing problems and future trends are identified for researchers and engineers in the field.

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A cooperative game theoretic solution for lifetime maximization of WSNs in sequential estimation

Cited by 5 publications

References 15 publications

Game theory for energy efficiency in Wireless Sensor Networks: Latest trends

Game theory for energy efficiency in Wireless Sensor Networks: Latest trends

Sleep Control Game for Wireless Sensor Networks

Game Theory for Wireless Sensor Networks: A Survey

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